[this information was originally in the previous post, but I put it here to unclutter the status assessment]
Mike Phillips dropped me an email to query the arable. So I thought it worthwhile to post my thoughts.
A problem we have is that there is little available quantitative data on terrestrial habitat use. Since most gcn records are collected from ponds, the model is therefore scoring terrestrial landscape features based on their suitability as locations for gcn ponds.
A grassland location scores much better than a woodland location (the latter barely positive). Arable is in the middle. Builtup locations and locations with conifer typically score negatively (ie. newts are infrequently recorded in these areas).
One possible modification to the status assessment would be to provide a range of values. For terrestrial habitat, the lower range would exclude arable, the maximum would include it. However, I am reminded of mitigation projects that capture many gcn in arable fields.
Since the model used for the Kent Status Assessment is summing the % habitat cover in only those squares where gcn presence is predicted, it already controls for arable areas with high % cover where gcn are likely to be absent.
Looking at the model outputs, 1 km squares with very extensive % cover of arable cannot overcome the low score generated if the square has few ponds. So 1 km squares with very high (>90%) arable cover and 3 or less ponds typically generate a Low score in terms of their suitability for gcn.
In comparison, 1 km squares with few ponds and high % cover of improved grassland will usually generate a Medium score in terms of their suitability for gcn.
Of course the overall score depends on the mix of landscape features that are present, with pond density being the main positive influence (by a long way).
Expressed another way. A 1 km square located in the range of gcn with very high arable % cover will need more ponds created than a square with a lower % cover of grassland to achieve the same suitability score.
For interest, the highest scoring 1 km square with low pond density (3 ponds in this case) has the following mix of terrestrial habitat classifications:
Improved Grassland = 54.7%
Arable = 39%
Broadleaf = 0
Conifer = 0
Semi-Natural = 2.6%
Upland = 3.7%
Builtup = 0
For low pond density squares with an overall score of High, the square with the highest arable % cover has the following composition:
Improved Grassland = 22%
Arable = 63.4%
Broadleaf = 0
Conifer = 0
Semi-Natural = 6.6%
Upland = 7.8%
Builtup = 0
(there are 3 ponds in this square and gcn are confirmed present)
Last comment. Providing there are a reasonable number of ponds present, the presence of arable will not prevent pond occupancy by gcn - providing the square is actually within their range.